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The Trustworthy AI lab continues to grow, with new additions:
- Rimi joins the lab as a PhD student working at the intersection of Artificial Intelligence and Sustainability, her interests are in the environmental and economic costs associated with large scale machine learning and data centers.
- Anjali joins the lab as a MSc student on the themes of Artificial Intelligence and Sustainability, her interests lie in the application of artificial intelligence in education.
- Mosarrat joins the lab as a PhD student, her research lies in building reliable and accountable AI systems, co-supervized by Prof. Jeremy Bradbury from the SEER Lab
Both Rimi and Anjali join as part of the the Quantum Computing and Artificial Intelligence for Decision Optimization Training Program.
Nathan, Joelma, and Andrei Torres (adjunct prof. Ontario Tech) delivered a public workshop at Ajax Public Library this week.
The workshop explored the limitations, risks, and vulnerabilities of large language models (LLMs), some defenses, and, how such defenses are often insufficient. We demonstrated this through some hands-on activities and by taking down Gandalf in the AI Wizard game.
The hands-on workshop focused on how AI can be impressive, useless, and/or weird via exploration, experimentation, and co-creation of knowledge. In doing so, attendees could discover the limits of:
- ChatGPT
- DeepSeek
- Craiyon
- Stable Diffusion
- Various HuggingFace and DeepAI models
- and many more…
This event marks one of many library events this year, you can find out more here.
On Tuesday, April 14, the Trustworthy AI lab attended the MAIRI symposium that featured inspiring speakers, a poster session, a panel discussion, and opportunities to connect with a community committed to thoughtful AI research and innovation. Among the various talks, many in the lab presented their research in the poster sessions.
